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Crime prediction by data-driven Green’s function method

  • Published:2020-04 Issue:2 Volume:36 Page:480-488
  • ISSN:0169-2070
  • Container-title:International Journal of Forecasting
  • language:en
  • Short-container-title:International Journal of Forecasting

Author:

Kajita Mami,Kajita Seiji

Funder

National Institute of Information and Communications Technology (NICT), JAPAN

Publisher

Elsevier BV

Subject

Business and International Management

Reference49 articles.

1. Novel evaluation metrics for sparse spatio-temporal point process hotspot predictions-a crime case study;Adepeju;International Journal of Geographical Information Science,2016

2. Spatio-temporal low count processes with application to violent crime events;Aldor-Noiman;Statistica Sinica,2016

3. Biting back: Tackling repeat burglary and car crime (vol. 58);Anderson,1995

4. The psychology of criminal conduct;Andrews,2014

5. Spatial analyses of crime;Anselin;Criminal Justice,2000

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1. A Study on Smart Machine Learning (ML) Tools for Crime Detection and Prediction;2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE);2024-05-09

2. A Systematic Review of Multi-Scale Spatio-Temporal Crime Prediction Methods;ISPRS International Journal of Geo-Information;2023-05-23

3. Machine learning in crime prediction;Journal of Ambient Intelligence and Humanized Computing;2023-02-02

4. Adaptive deep Q learning network with reinforcement learning for crime prediction;Evolutionary Intelligence;2022-01-28

5. Artificial intelligence & crime prediction: A systematic literature review;Social Sciences & Humanities Open;2022
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